ArticleInterface focus2018
Weighing trees with lasers: advances, challenges and opportunities.
Article in Interface focus, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed.
- Terrestrial and Airborne Laser Scanning Dataset of Trees in the Shivalik Range, India with Field Measurements and Leaf-Wood Classifications.Scientific data · 2026Article
- Scaling Up Forest Vision with Synthetic Data.International journal of computer vision · 2026Article
- Aboveground biomass in seven tropical forest patches of Western-Africa: comparison of manual inventory and terrestrial laser scanning.Annals of forest science · 2026Article
- Combined impact of semantic segmentation and quantitative structure modelling of Southern pine trees using terrestrial laser scanning.Scientific reports · 2025Article
- An unsupervised semantic segmentation network for wood-leaf separation in 3D point clouds.Plant phenomics (Washington, D.C.) · 2025Article
- Flower power: Modeling floral resources of wild cherry (Prunus avium L.) for bee pollinators based on 3D data.Ecology · 2025Article
- Robust Scan Registration for Navigation in Forest Environment Using Low-Resolution LiDAR Sensors.Sensors (Basel, Switzerland) · 2023Article
- 3D modeling and reconstruction of plants and trees: A cross-cutting review across computer graphics, vision, and plant phenotyping.Breeding science · 2022Article
- Above-ground biomass references for urban trees from terrestrial laser scanning data.Annals of botany · 2021Article
- Sampling forests with terrestrial laser scanning.Annals of botany · 2021Article
- Integrating terrestrial laser scanning with functional-structural plant models to investigate ecological and evolutionary processes of forest communities.Annals of botany · 2021Article
- Dynamic allometric scaling of tree biomass and size.Nature plants · 2021Article
- New 3D measurements of large redwood trees for biomass and structure.Scientific reports · 2020Article
- Leveraging Signatures of Plant Functional Strategies in Wood Density Profiles of African Trees to Correct Mass Estimations From Terrestrial Laser Data.Scientific reports · 2020Article
- An architectural understanding of natural sway frequencies in trees.Journal of the Royal Society, Interface · 2019Article
- The Importance of Consistent Global Forest Aboveground Biomass Product Validation.Surveys in geophysics · 2019Review
- New Opportunities for Forest Remote Sensing Through Ultra-High-Density Drone Lidar.Surveys in geophysics · 2019Review
- Estimating urban above ground biomass with multi-scale LiDAR.Carbon balance and management · 2018Article
- Non-intersecting leaf insertion algorithm for tree structure models.Interface focus · 2018Article
- Weighing trees with lasers: advances, challenges and opportunities.Interface focus · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Terrestrial laser scanning (TLS) is providing exciting new ways to quantify tree and forest structure, particularly above-ground biomass (AGB). We show how TLS can address some of the key uncertainties and limitations of current approaches to estimating AGB based on empirical allometric scaling equations (ASEs) that underpin all large-scale estimates of AGB. TLS provides extremely detailed non-destructive measurements of tree form independent of tree size and shape. We show examples of three-dimensional (3D) TLS measurements from various tropical and temperate forests and describe how the resulting TLS point clouds can be used to produce quantitative 3D models of branch and trunk size, shape and distribution. These models can drastically improve estimates of AGB, provide new, improved large-scale ASEs, and deliver insights into a range of fundamental tree properties related to structure. Large quantities of detailed measurements of individual 3D tree structure also have the potential to open new and exciting avenues of research in areas where difficulties of measurement have until now prevented statistical approaches to detecting and understanding underlying patterns of scaling, form and function. We discuss these opportunities and some of the challenges that remain to be overcome to enable wider adoption of TLS methods.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.